CubePlex vs Dify: Long-Lived Agents vs Scenario-Specific Apps
Agent products are taking two different approaches to how people get work done.
Dify starts with a defined scenario. A team identifies a problem such as customer support, knowledge Q&A, contract review, or report generation, then configures the model, Workflow, Knowledge, and tools for that problem. The result is published as a web app, API, embed, or MCP service. Users choose an App and work within the capabilities it was built to provide. Dify's source code and usage guides are available on GitHub and in its documentation.
CubePlex starts with a long-lived Agent. A person or team keeps using the same Agent in a Workspace and gives it different kinds of work over time. The Agent retains its role, memory, Skills, and MCP connections, and can operate a durable computer environment when a task requires one. Instead of switching among Apps for different scenarios, users return to an Agent that becomes familiar with how the team works. CubePlex also provides its source code and product documentation.
That difference shapes how the two products organize capabilities, state, and collaboration.
